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Splunk + Prelert : Anomaly Detection With Machine Learning Analytics

Last week, i updated the old Splunk in my Laptop. Last version that i have is version 4.x.x. I got an email from Prelert about their new feature. For you who don’t know about Prelert : Prelert is a layer of highly advanced predictive analytics software that easily integrates with and turbocharges your existing management tools. It enables truly proactive management by automatically learning the normal behaviour of your application and supporting environment and alerting you to potential problems as they develop. Prelert is Splunk App that can enhance Splunk feature into anomaly detection through machine learning process.

Since the new version of Prelert (3.1.8) needs the latest Splunk version, so i have to update my Splunk first.

This post just a quick post for introduction in Splunk, Splunk Apps, and Prelert. Maybe my next post will tell you about technical explanation step by step how to setup your Splunk, and setup Prelert in Splunk.

Below is some screenshots from my Splunk Dashboard, example of some Splunk Apps, and Dahboard for Prelert anomaly detective :

This is my screenshot for Prelert Anomay Detective new feature “Qucik Mode” :